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School of Engineering
- Undergraduate major in Mechanical Engineering
- Undergraduate major in Systems and Control Engineering
- Undergraduate major in Electrical and Electronic Engineering
- Undergraduate major in Information and Communications Engineering
- Undergraduate major in Industrial Engineering and Economics
- Common courses
- School of Materials and Chemical Technology
- School of Computing
- School of Life Science and Technology
- School of Environment and Society
- 工学院，物質理工学院，環境・社会理工学院共通科目
- Liberal arts and basic science courses
- First-Year Courses
- School of Science
- School of Engineering
- School of Materials and Chemical Technology
- School of Computing
- School of Life Science and Technology
-
School of Environment and Society
- Department of Architecture and Building Engineering
- Department of Civil and Environmental Engineering
- Department of Transdisciplinary Science and Engineering
- Department of Social and Human Sciences
- Department of Innovation Science
- Graduate major in Technology and Innovation Management
- Common courses
- Liberal arts and basic science courses
- Academic unit or major
- Undergraduate major in Industrial Engineering and Economics
- Instructor(s)
- Nakata Kazuhide
- Class Format
- Lecture / Exercise
- Media-enhanced courses
- Day/Period(Room No.)
- Mon5-8(W9-311)
- Group
- -
- Course number
- IEE.A207
- Credits
- 2
- Academic year
- 2017
- Offered quarter
- 1Q
- Syllabus updated
- 2017/3/17
- Lecture notes updated
- 2017/5/29
- Language used
- Japanese
- Access Index
-
Course description and aims
In the first half of the lecture, students learn the basic programming languages such as the control structure and functions and data types. In the second half, students experience program development through making programs to solve some exercise problems.
Through lectures and workshop experience, the course enables students to understand and acquire fundamental skills.
Student learning outcomes
After completing this course, students will be able to do:
computer programming
Keywords
prigramming, python
Competencies that will be developed
| ✔ Specialist skills | Intercultural skills | Communication skills | Critical thinking skills | ✔ Practical and/or problem-solving skills |
Class flow
Students practice programming using python.
Course schedule/Required learning
| Course schedule | Required learning | |
|---|---|---|
| Class 1 | Introduction | We instruct in each class |
| Class 2 | Interpreter | |
| Class 3 | Control structure | |
| Class 4 | Function | |
| Class 5 | Data structure | |
| Class 6 | Module | |
| Class 7 | Linear algebra | |
| Class 8 | Input and output | |
| Class 9 | Collaborative filtering 1 | |
| Class 10 | Collaborative filtering 2 | |
| Class 11 | Collaborative filtering 3 | |
| Class 12 | Algorithm | |
| Class 13 | Data Mining 1 | |
| Class 14 | Data Mining 2 | |
| Class 15 | Data Mining 3 |
Textbook(s)
None required
Reference books, course materials, etc.
Course materials can be found on OCW-i
Assessment criteria and methods
Students will be assessed on their understanding of python programming.
Students' course scores are based on programming code and reports.
Related courses
- IEE.A230 ： Advanced Computer Programming
Prerequisites (i.e., required knowledge, skills, courses, etc.)
No prerequisites
Other
Bring the notebook PC to lecture
